package cn.com.captureNetPacket;

import java.util.concurrent.Executor;
import java.util.concurrent.ThreadPoolExecutor;

import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.annotation.EnableAsync;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;

@Configuration
@EnableAsync
public class ExecutorService {

	    @Value("${async.executor.thread.core_pool_size}")
	    private int corePoolSize;
	    @Value("${async.executor.thread.max_pool_size}")
	    private int maxPoolSize;
	    @Value("${async.executor.thread.queue_capacity}")
	    private int queueCapacity;
	    @Value("${async.executor.thread.name.prefix}")
	    private String namePrefix;

	    @Bean(name = "asyncServiceExecutor")
	    public Executor asyncServiceExecutor() {
	        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
	        //配置核心线程数
	        executor.setCorePoolSize(corePoolSize);
	        //配置最大线程数
	        executor.setMaxPoolSize(maxPoolSize);
	        //配置队列大小
	        executor.setQueueCapacity(queueCapacity);
	        //配置线程池中的线程的名称前缀
	        executor.setThreadNamePrefix(namePrefix);

	        // rejection-policy：当pool已经达到max size的时候，如何处理新任务
	        // CALLER_RUNS：不在新线程中执行任务，而是有调用者所在的线程来执行
	        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.DiscardOldestPolicy());
	        //执行初始化
	        executor.initialize();
	        return executor;
	    }
 
}
